# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "bartisan" in publications use:' type: software license: GPL-2.0-only title: 'bartisan: Generalized Bayesian Additive Regression Trees' version: 0.1.0 abstract: Fits Bayesian additive regression trees (BART) models for likelihoods outside the conditionally conjugate Gaussian case, using the Laplace-approximation reversible-jump sampler of Linero (2025) . Supported response families include Gaussian, binomial, Poisson, negative binomial, gamma, beta, ordered beta, ordinal (cumulative link), multinomial, zero-inflated counts, a Tweedie compound Poisson for a non-negative response with a point mass at zero, accelerated failure time and proportional hazards models for right-censored survival data, location-scale regression, and a Dirichlet process mixture for the error distribution. Decision rules may be hard, as in standard BART, or soft, as in the SoftBart model of Linero and Yang (2018) , which yields smoother fits. The interface follows that of glm(), so that a model is specified with a formula, a data frame, and a family. authors: - family-names: Greifer given-names: Noah email: noah.greifer@gmail.com orcid: https://orcid.org/0000-0003-3067-7154 repository: https://cran.r-universe.dev repository-code: https://github.com/ngreifer/bartisan commit: c8e7b6d230744473bff7dd9488f0f3bfb44e1f3c url: https://ngreifer.github.io/bartisan/ date-released: '2026-10-28' contact: - family-names: Greifer given-names: Noah email: noah.greifer@gmail.com orcid: https://orcid.org/0000-0003-3067-7154